Charts of Census-based apparel industry data, 1992 to 2014
This index collects the fashion industry statistics charts built from United States Census data for the years 1992 to 2014. The collection follows the industry's chain from the factory to the shop floor: apparel manufacturers' value of shipments and total inventories, the Monthly Retail Trade Survey results for clothing stores overall and for men's, women's, shoe and jewelry stores separately, and the Monthly Wholesale Trade figures for apparel, piece goods and notions sales and inventories. Choose a chart set below to study the series for that part of the trade.

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Apparel Manufacturers' Shipments, Inventories, and Orders
Apparel Manufacturers Value of Shipments (1992 to 2014)
Apparel Manufacturers Total Inventories (1992 to 2014)
Monthly Retail Trade Survey
Clothing Stores Monthly Retail Trade Survey (1992-2014)
Men's Clothing Stores Monthly Retail Trade Survey (1992-2014)
Women's Clothing Stores Monthly Retail Trade Survey (1992-2014)
Shoe Stores Monthly Retail Trade Survey (1992-2014)
Jewelry Stores Monthly Retail Trade Survey (1992-2014)
Monthly Wholesale Trade: Sales and Inventories
Apparel, Piece Goods, and Notions Sales Monthly
Apparel, Piece Goods, and Notions Inventory Monthly
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Manufacturing comes first, because production leads the chain: the shipments series records the dollar value of what apparel manufacturers sold, and the inventories series records what they held, each running monthly from 1992 to 2014 in seasonally adjusted and not seasonally adjusted form. Retailing follows, with the clothing stores survey as the headline series and the men's, women's, shoe and jewelry store surveys breaking the shop-floor picture into its specialty parts — the same store types a high street is made of, tracked separately because their seasons and cycles differ. Wholesaling closes the chain: apparel, piece goods and notions move through merchant wholesalers whose monthly sales and inventory figures show the pipeline filling and draining between factory and retailer.
Every chart set carries its definitions and cautions with it. The retail definitions page explains the survey terms behind the retail series, and the wholesale definitions page does the same for the wholesale series, because a monthly figure means little until the reader knows what a shipment, an inventory or a seasonally adjusted estimate actually counts. The data behind all of the charts was retrieved from Census sources on February 4 and 5, 2015, and the charts are kept as historical reference for the 1992-2014 period: revisions to source data may occur at the Census Bureau, and these pages present the series as retrieved. Used together, the sets let a researcher trace one industry's two decades — through expansion, import competition and recession — in the government's own monthly measurements.
Monthly series reward patience: a single month's movement is mostly seasonal noise, which is why each chart set presents the seasonally adjusted view beside the unadjusted record. The adjusted series answers the research question — is the industry growing or shrinking underneath its calendar? — while the unadjusted series preserves the calendar itself, the December peaks and January troughs that govern apparel working capital. Comparing the manufacturing, retail and wholesale sets for the same period shows the chain's timing: wholesale inventories move before retail sales, and manufacturers' shipments lead both, which is what makes the three groups one collection rather than three separate curiosities.
Apparel manufacturers' value of shipments and total inventories, Monthly Retail Trade Survey results for clothing, men's, women's, shoe and jewelry stores, and Monthly Wholesale Trade sales and inventories for apparel, piece goods and notions.
The charts were built from United States Census data, retrieved on February 4 and 5, 2015, and are kept as historical reference for 1992 to 2014.
The retail and wholesale definitions pages explain the survey terms — shipments, inventories, seasonal adjustment and sampling measures — so the monthly figures can be read correctly.